<p>OR = odds ratio, CI = confidence interval.</p><p>Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.</p
In this last video of the series, Dr Heini Väisänen discusses how to interpret interaction effects i...
<p>(A) Odds ratios and their associated P-value for all the selected cases in the univariate models....
<p>Binomial logistic regression models examining effects on regular activity participation upon risk...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
Experiments 1 and 2: Final models of logistic regressions predicting choosing on showups 2 and 3 bas...
<p>Binary logistic regression for the probability of presenting high social functioning in terms of ...
Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 ...
<p>Reference models are indicated in bold. To test the effect of treatment, the reference model was ...
Model 1 is used for inferring the effect of partner condition on altruism rates; it contains a by-su...
<p>Based upon a nine-feature model, a predicted probability of BA was calculated for each participan...
<p>Results of conditional logistic regression testing for the effects of various factors on preferen...
<p>(A) The metacognitive regression curve for one participant, plotting confidence comparison respon...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
In this last video of the series, Dr Heini Väisänen discusses how to interpret interaction effects i...
<p>(A) Odds ratios and their associated P-value for all the selected cases in the univariate models....
<p>Binomial logistic regression models examining effects on regular activity participation upon risk...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
Experiments 1 and 2: Final models of logistic regressions predicting choosing on showups 2 and 3 bas...
<p>Binary logistic regression for the probability of presenting high social functioning in terms of ...
Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 ...
<p>Reference models are indicated in bold. To test the effect of treatment, the reference model was ...
Model 1 is used for inferring the effect of partner condition on altruism rates; it contains a by-su...
<p>Based upon a nine-feature model, a predicted probability of BA was calculated for each participan...
<p>Results of conditional logistic regression testing for the effects of various factors on preferen...
<p>(A) The metacognitive regression curve for one participant, plotting confidence comparison respon...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
Logistic regression is a technique that uses statistics to develop a prediction model on any occurre...
In this last video of the series, Dr Heini Väisänen discusses how to interpret interaction effects i...
<p>(A) Odds ratios and their associated P-value for all the selected cases in the univariate models....
<p>Binomial logistic regression models examining effects on regular activity participation upon risk...