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        <title>The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded</title>
        <author>Shinichi Nakagawa</author>
        <author>P. Johnson</author>
        <author>Holger Schielzeth</author>
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        <bibl>
          <title>The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded</title>
          <date>2017</date>
          <publisher>Journal of the Royal Society Interface</publisher>
          <idno type="DOI">10.1098/rsif.2017.0213</idno>
          
          <idno type="record">nakagawa2017-the-coefficient-of-determination-r</idno>
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      <span xml:id="t0" type="object_of_study" ana="#object_of_study" resp="#paper">
        <label>WHAT A STATISTIC MEANS WHEN THE MODEL GETS COMPLICATED - R-squared and the intra-class correlation for generalized linear mixed models, revisited by the authors of the previous definition and extended to families their own method could not reach</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t1" type="research_question" ana="#research_question" resp="#paper">
        <label>how to define the residual variance term that R-squared needs, when for most distributional families it CANNOT BE SEPARATED into the components the earlier definition assumed</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t2" type="contribution" ana="#contribution" resp="#paper">
        <label>a general definition of the observation-level variance for non-Gaussian GLMMs via the delta method, the lognormal approximation or the trigamma function - plus a correction to two of their own earlier recommendations</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t3" type="claim_type" ana="#claim_type" resp="#paper">
        <label>method</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t4" type="phenomenon" ana="#phenomenon" resp="#paper">
        <label>one of the most-reported numbers in science, with no single definition once the model has random effects</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t5" type="method" ana="#method" resp="#paper">
        <label>formal-model</label>
        <term>formal-model</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t6" type="mechanisms" ana="#mechanisms[0]" resp="#tagger" cert="0.95">
        <label>A NAMING RULE - WHEN A MODIFIER IN A NAME IS LICENSED: `In such a case, the ICC should not be called `ADJUSTED`. For an ICC value to be adjusted for a source of variance, that variance must be more than 0 and omitted from the ICC calculation.` A published condition on the use of one word inside a statistic&#x27;s name - the same shape as buck2011&#x27;s rule for when two fields may share an acronym, one level down</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t7" type="mechanisms" ana="#mechanisms[1]" resp="#tagger" cert="0.95">
        <label>AND ONE NAME FOR TWO QUANTITIES, KEPT APART BY A SUBSCRIPT: `MARGINAL AND CONDITIONAL R2 differ only in whether the random effect variance is included in the numerator` - the marginal is the proportion explained by the fixed effects, the conditional by fixed AND random. Two numbers a reader will see reported as `R2`</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t8" type="mechanisms" ana="#mechanisms[2]" resp="#tagger" cert="0.95">
        <label>AND A RENAMING WHERE THE NOTATION DELIBERATELY DOES NOT FOLLOW: `We refer to this generalized version ... as `THE OBSERVATION-LEVEL VARIANCE` here rather than the residual variance (but we keep the notation). Note that the observation-level variance should not be confused with the variance associated with OLRE, which ... can be considered to be A PART OF it.` The name changes, the symbol does not, and the sentence that renames it also warns which neighbouring term it is not</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t9" type="mechanisms" ana="#mechanisms[3]" resp="#tagger" cert="0.95">
        <label>AND THE EARLIER DEFINITION WORKED ONLY FOR TWO SPECIAL CASES, SAID PLAINLY: `obtaining for specific distributions is not always possible, because in many families of GLMMs, (observation-level variance) cannot be clearly separated into (overdispersion variance) and (distribution-specific variance). It turns out that binomial and Poisson distributions are special cases where can be usefully calculated ... This is not the case for other families.` The general method was a special case and the authors are the ones who found out</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t10" type="mechanisms" ana="#mechanisms[4]" resp="#tagger" cert="0.95">
        <label>AND A DISTINCTION THE AUTHORS WITHDRAW FOR ONE FAMILY AND KEEP FOR ANOTHER: `In the past, we distinguished between ICC on the latent scale and on the observation scale. Such a distinction turns out to be strictly appropriate only for binomial distributions but not for Poisson distributions (and probably also not for other non-Gaussian distributions).` A retraction with its scope stated, including the part they are only probably right about</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t11" type="mechanisms" ana="#mechanisms[5]" resp="#tagger" cert="0.95">
        <label>AND THEY NAME WHAT THEY USED TO CALL IT: `note that we would have called 1/lambda THE DISTRIBUTION-SPECIFIC VARIANCE` - the same quantity, the old name, and the new one, in a parenthesis. The corpus has papers that rename things and papers that correct things; this one prints the substitution table</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t12" type="mechanisms" ana="#mechanisms[6]" resp="#tagger" cert="0.95">
        <label>AND THE NAMING CHOICE MOVES EVERY REPORTED NUMBER, IN A KNOWN DIRECTION: `the MINIMUM VALUE of 1/(p(1-p)) IS 4, which is larger than pi^2/3 = 3.29, meaning that the use of 1/p(1-p) IN R2 and ICC for binary data will always produce larger values than those using pi^2/3.` Which term you call the denominator decides whether every R2 in a literature is larger or smaller - not a range, a DIRECTION, with a floor. And Browne et al. observed exactly that</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t13" type="mechanisms" ana="#mechanisms[7]" resp="#tagger" cert="0.95">
        <label>AND TWO OF THEIR OWN EARLIER RECOMMENDATIONS CONTRADICT EACH OTHER: `In our earlier papers, we proposed to use the exponential of the intercept ... WE ALSO SUGGESTED that it is possible to use the mean of observed values. Unfortunately, these two recommendations are often inconsistent with each other.` Two ways to compute one input, from one paper, that disagree</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t14" type="mechanisms" ana="#mechanisms[8]" resp="#tagger" cert="0.95">
        <label>AND THE REASON IS THAT ONE OF THEM ESTIMATES A DIFFERENT LOCATION ENTIRELY: `In fact, exp(beta0) gives the median value of y rather than the mean ... Thus, the use of exp(beta0) will often OVERESTIMATE, providing SMALLER ESTIMATES OF R2 AND ICC ... when lambda is small, the difference can be substantial so the choice of the method needs to be reported for reproducibility.` A methods choice promoted to a reporting requirement because the two answers differ</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t15" type="mechanisms" ana="#mechanisms[9]" resp="#tagger" cert="0.95">
        <label>AND THREE ROUTES REACH ONE QUANTITY AND AGREE ONLY ABOVE A THRESHOLD: `ln(1 + 1/lambda) (LOGNORMAL APPROXIMATION), 1/lambda (DELTA METHOD APPROXIMATION) and (TRIGAMMA FUNCTION) GIVE SIMILAR RESULTS WHEN LAMBDA IS GREATER THAN 2. Our recommendation is to use the trigamma function.` Three names, one target, and a condition under which the choice stops mattering</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t16" type="limitations" ana="#limitations[0]" resp="#tagger" cert="0.95">
        <label>THEIR OWN APPROXIMATION IS NOT THE BEST ONE, AND THEY SAY SO: `A comparison among equations (6.7)-(6.9) is also shown in electronic supplementary material, appendix S3 (it turns out equation (6.8) gives the best approximation). Simulation will give the most accurate conversions when no exact solutions are available.` Equation 6.7 is theirs; 6.8 is McCulloch et al.&#x27;s</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t17" type="limitations" ana="#limitations[1]" resp="#tagger" cert="0.95">
        <label>AND A NEIGHBOURING STATISTIC IS ADMITTED INTO THE FAMILY WITH A HEDGE IN PARENTHESES: the trigamma function has been used for `heritability (which can be seen as a type of ICC although in a strict sense, it is not)`. A kindhood claim and its denial in eleven words - the corpus&#x27;s `is-a` cannot carry that, so it is here in prose</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t18" type="limitations" ana="#limitations[2]" resp="#tagger" cert="0.95">
        <label>and one field renames the statistic outright: `a type of ICC is often referred to as repeatability R, where the grouping factor is often individuals that have been phenotyped repeatedly` - ecology and evolution&#x27;s name for what the rest of the literature calls an intra-class correlation</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t19" type="controls" ana="#controls[0]" resp="#tagger" cert="0.95">
        <label>deriving the same observation-level variance three independent ways - delta method, lognormal approximation, trigamma function - and comparing them</label>
        <note>eliminates: a variance term that is an artefact of one derivation; they agree when lambda &gt; 2 and the trigamma is recommended where it applies · outcome: held</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t20" type="controls" ana="#controls[1]" resp="#tagger" cert="0.95">
        <label>comparing their own bias-correction approximation against McCulloch et al.&#x27;s and Zeger et al.&#x27;s, and against simulation</label>
        <note>eliminates: recommending their own formula without testing it - and the test says somebody else&#x27;s is better · outcome: failed</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t21" type="controls" ana="#controls[2]" resp="#tagger" cert="0.95">
        <label>requiring that the method used to obtain lambda be reported</label>
        <note>eliminates: two papers reporting &#x27;R2&#x27; from the same data and the same model with different numbers, because they estimated lambda differently · outcome: partial</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t22" type="concepts" ana="#concepts[0]" resp="#paper" cert="0.95">
        <label>marginal R 2</label>
        <term>marginal R 2</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t23" type="concepts" ana="#concepts[1]" resp="#paper" cert="0.95">
        <label>conditional R 2</label>
        <term>conditional R 2</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t24" type="concepts" ana="#concepts[2]" resp="#paper" cert="0.95">
        <label>observation-level variance</label>
        <term>observation-level variance</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t25" type="concepts" ana="#concepts[3]" resp="#paper" cert="0.95">
        <label>distribution-specific variance</label>
        <term>distribution-specific variance</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t26" type="concepts" ana="#concepts[4]" resp="#paper" cert="0.95">
        <label>median</label>
        <term>median</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t27" type="concepts" ana="#concepts[5]" resp="#paper" cert="0.95">
        <label>mean</label>
        <term>mean</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t28" type="senses" ana="#senses[0]" resp="#tagger" cert="0.95">
        <label>`marginal R2` - the proportion of total variance explained by the FIXED effects only; `conditional R2` - by fixed AND random. They `differ only in whether the random effect variance is included in the numerator`</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t29" type="senses" ana="#senses[1]" resp="#tagger" cert="0.95">
        <label>`observation-level variance` (this paper) - the generalized residual term, explicitly renamed `rather than the residual variance` while KEEPING THE NOTATION, and not to be confused with the variance of an observation-level random effect</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t30" type="senses" ana="#senses[2]" resp="#tagger" cert="0.95">
        <label>`distribution-specific variance` - what 1/lambda would have been called in the authors&#x27; earlier papers; kept as a separate concept for binomial distributions and declared not analogous</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t31" type="senses" ana="#senses[3]" resp="#tagger" cert="0.95">
        <label>`repeatability R` (ECOLOGY AND EVOLUTION) - a type of intra-class correlation where the grouping factor is individuals measured repeatedly</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t32" type="senses" ana="#senses[4]" resp="#tagger" cert="0.95">
        <label>`adjusted ICC` - and the condition on the word: an ICC may only be called adjusted if the variance it is adjusted for is `MORE THAN 0 AND OMITTED FROM THE CALCULATION`</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t33" type="claim_relations" ana="#claim_relations[0]" resp="#tagger" cert="0.95">
        <label>extends → the authors&#x27; own earlier definitions of R2_GLMM and ICC_GLMM (Nakagawa &amp; Schielzeth 2013; Nakagawa, Johnson &amp; Schielzeth), which covered only binomial and Poisson families - &#x27;It turns out that binomial and Poisson distributions are special cases&#x27;</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t34" type="claim_relations" ana="#claim_relations[1]" resp="#tagger" cert="0.95">
        <label>contradicts → their own earlier distinction between ICC on the latent scale and on the observation scale, which &#x27;turns out to be strictly appropriate only for binomial distributions but not for Poisson distributions&#x27;</label>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t35" type="concept_edges" ana="#concept_edges[0]" resp="#tagger" cert="0.95">
        <label>marginal R 2 —distinct-from→ conditional R 2</label>
        <term>marginal R 2</term>
        <term>conditional R 2</term>
        <note>the relation itself is separately evidenced · strength of the relation: 0.95 · note: &#x27;As MARGINAL AND…&#x27; One name for two numbers, kept apart by a subscript a reader may not carry across papers · the relation stated: the two differ ONLY in whether the random-effect variance is in the numerator - and both are reported as &#x27;R2&#x27;</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t36" type="concept_edges" ana="#concept_edges[1]" resp="#tagger" cert="0.95">
        <label>observation-level variance —distinct-from→ distribution-specific variance</label>
        <term>observation-level variance</term>
        <term>distribution-specific variance</term>
        <note>the relation itself is separately evidenced · strength of the relation: 0.95 · note: &#x27;ARE ANALOGOUS…&#x27; The authors previously called one of these by the other&#x27;s name - &#x27;note that we would have called 1/lambda THE DISTRIBUTION-SPECIFIC VARIANCE&#x27; - and the edge records the distinction they drew afterwards · the relation stated: the two observation-level variances are analogous to each other and the distribution-specific variance is not - which is why the term was renamed</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t37" type="concept_edges" ana="#concept_edges[2]" resp="#tagger" cert="0.95">
        <label>median —distinct-from→ mean</label>
        <term>median</term>
        <term>mean</term>
        <note>the relation itself is separately evidenced · strength of the relation: 0.95 · note: &#x27;In fact, exp(beta0) gives the median value of y rather than the mean of y, assuming a Poisson distribution. Thus, the use of exp(beta0) will often overestimate, providing smaller estimates of R2 AND ICC ... when lambda is small, the difference can be substantial so the choice of the method needs to be reported for reproducibility.&#x27; A textbook distinction with a reporting requirement attached to it · the relation stated: exp(beta0) estimates the MEDIAN where the formula requires the MEAN, so using it systematically shrinks R2 and ICC</note>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t38" type="content_tags" ana="#content_tags.findings[0]" resp="#tagger" cert="0.95">
        <label>A PUBLISHED CONDITION ON A WORD INSIDE A STATISTIC&#x27;S NAME: `the ICC should not be called `ADJUSTED` ... that variance must be more than 0 and omitted from the ICC calculation`</label>
        <term>A PUBLISHED CONDITION ON A WORD INSIDE A STATISTIC&#x27;S NAME: `the ICC should not be called `ADJUSTED` ... that variance must be more than 0 and omitted from the ICC calculation`</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t39" type="content_tags" ana="#content_tags.findings[1]" resp="#tagger" cert="0.95">
        <label>AND A RENAMING WHERE THE NOTATION DELIBERATELY DOES NOT FOLLOW: `we refer to this generalized version ... as `THE OBSERVATION-LEVEL VARIANCE` here rather than the residual variance (but we keep the notation)`</label>
        <term>AND A RENAMING WHERE THE NOTATION DELIBERATELY DOES NOT FOLLOW: `we refer to this generalized version ... as `THE OBSERVATION-LEVEL VARIANCE` here rather than the residual variance (but we keep the notation)`</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t40" type="content_tags" ana="#content_tags.findings[2]" resp="#tagger" cert="0.95">
        <label>AND THE AUTHORS NAME WHAT THEY USED TO CALL IT: `note that we would have called 1/lambda THE DISTRIBUTION-SPECIFIC VARIANCE`</label>
        <term>AND THE AUTHORS NAME WHAT THEY USED TO CALL IT: `note that we would have called 1/lambda THE DISTRIBUTION-SPECIFIC VARIANCE`</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t41" type="content_tags" ana="#content_tags.findings[3]" resp="#tagger" cert="0.95">
        <label>AND THE NAMING CHOICE MOVES EVERY NUMBER IN A KNOWN DIRECTION: `the minimum value of 1/(p(1-p)) IS 4, which is larger than pi^2/3 = 3.29, meaning that the use of 1/p(1-p) IN R2 and ICC for binary data will always produce larger values`</label>
        <term>AND THE NAMING CHOICE MOVES EVERY NUMBER IN A KNOWN DIRECTION: `the minimum value of 1/(p(1-p)) IS 4, which is larger than pi^2/3 = 3.29, meaning that the use of 1/p(1-p) IN R2 and ICC for binary data will always produce larger values`</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t42" type="content_tags" ana="#content_tags.findings[4]" resp="#tagger" cert="0.95">
        <label>the authors&#x27; two earlier recommendations for estimating lambda, exp(beta0) and the mean of observed values, are often inconsistent</label>
        <term>the authors&#x27; two earlier recommendations for estimating lambda, exp(beta0) and the mean of observed values, are often inconsistent</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t43" type="content_tags" ana="#content_tags.findings[5]" resp="#tagger" cert="0.95">
        <label>AND A DISTINCTION WITHDRAWN FOR ONE FAMILY AND KEPT FOR ANOTHER: `Such a distinction turns out to be strictly appropriate only for binomial distributions but not for Poisson distributions (and probably also not for other non-Gaussian distributions)`</label>
        <term>AND A DISTINCTION WITHDRAWN FOR ONE FAMILY AND KEPT FOR ANOTHER: `Such a distinction turns out to be strictly appropriate only for binomial distributions but not for Poisson distributions (and probably also not for other non-Gaussian distributions)`</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t44" type="content_tags" ana="#content_tags.definitions[0]" resp="#tagger" cert="0.95">
        <label>`quantifies the proportion of variance explained by a statistical model` - and `ESTIMATING R2 FOR GENERALIZED LINEAR MIXED MODELS REMAINS CHALLENGING`</label>
        <term>coefficient of determination</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t45" type="content_tags" ana="#content_tags.definitions[1]" resp="#tagger" cert="0.95">
        <label>`For an ICC value to be adjusted for a source of variance, that variance must be more than 0 and omitted from the ICC calculation` - otherwise `the ICC should not be called `ADJUSTED``</label>
        <term>adjusted ICC</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t46" type="content_tags" ana="#content_tags.quantities[0]" resp="#tagger" cert="0.95">
        <label>so the choice of term makes every R2 and ICC for binary data larger or smaller, in a fixed direction</label>
        <term>floor of the two candidate variance terms for binary data</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t47" type="content_tags" ana="#content_tags.quantities[1]" resp="#tagger" cert="0.95">
        <label>below that the delta method, lognormal approximation and trigamma function diverge</label>
        <term>where the three derivations agree</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t48" type="content_tags" ana="#content_tags.quantities[2]" resp="#tagger" cert="0.95">
        <label>`Simulation will give the most accurate conversions when no exact solutions are available`</label>
        <term>which approximation is best</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t49" type="content_tags" ana="#content_tags.statistics[0]" resp="#tagger" cert="0.95">
        <label>the proportion of variance explained by a grouping factor - called `repeatability R` in ecology and evolution, and a statistic whose `adjusted` variant carries a published condition on the word</label>
        <term>intra-class correlation coefficient</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
      <span xml:id="t50" type="content_tags" ana="#content_tags.variables[0]" resp="#tagger" cert="0.95">
        <label>the excess variation the residual term was supposed to separate out - and which `cannot be clearly separated` from the distribution-specific part in most families</label>
        <term>overdispersion</term>
        <note type="quotation-withheld">Quotation withheld because this record is not cleared for redistribution.</note>
      </span>
    </spanGrp>
  </standOff>
  <text>
    <body>
      <p><note type="rights">The full text of this article is not redistributable, so it is
      not included here. The evidence sentences are withheld with it; the tag layer and its
      grounding status remain. The article itself is at https://doi.org/10.1098/rsif.2017.0213.</note></p>
    </body>
  </text>
</TEI>
