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update to proper sphinx glossary
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docs/source/glossary.md

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docs/source/glossary.rst

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Glossary
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========
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.. glossary::
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:sorted:
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ANCOVA
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Analysis of covariance is a simple linear model, typically with one continuous predictor (the covariate) and a catgeorical variable (which may correspond to treatment or control group). In the context of this package, ANCOVA could be useful in pre-post treatment designs, either with or without random assignment. This is similar to the approach of difference in differences, but only applicable with a single pre and post treatment measure.
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Average treatment effect
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ATE
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The average treatement effect across all units.
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Average treatment effect on the treated
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ATT
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The average effect of the treatment on the units that recieved it. Also called Treatment on the treated.
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Change score analysis
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A statistical procedure where the outcome variable is the difference between the posttest and protest scores.
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Comparative interrupted time-series design
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CITS
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An interrupted time series design with added comparison time series observations.
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Confound
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Anything besides the treatment which varies across the treatment and control conditions.
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Counterfactual
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A hypothetical outcome that could or will occur under specific hypothetical circumstances.
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Difference in differences
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DiD
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Analysis where the treatment effect is estimated as a difference between treatment conditions in the differences between pre-treatment to post treatment observations.
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Interrupted time series design
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ITS
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A quasi-experimental design to estimate a treatment effect where a series of observations are collected before and after a treatment. No control group is present.
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Non-equivalent group designs
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NEGD
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A quasi-experimental design where units are assigned to conditions non-randomly, and not according to a running variable (see Regression discontinuity design).
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One-group posttest-only design
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A design where a single group is exposed to a treatment and assessed on an outcome measure. There is no pretest measure or comparison group.
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Panel data
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Time series data collected on multiple units where the same units are observed at each time point.
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Pretest-posttest design
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A quasi-experimental design where the treatment effect is estimated by comparing an outcome measure before and after treatment.
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Quasi-experiment
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An empirical comparison used to estimate the effects of a treatment where units are not assigned to conditions at random.
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Random assignment
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Where units are assigned to conditions at random.
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Randomized experiment
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An emprical comparison used to estimate the effects of treatments where units are assigned to treatment conditions randomly.
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Regression discontinuity design
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A quasi–experimental comparison to estimate a treatment effect where units are assigned to treatment conditions based on a cut-off score on a quantitative assignment variable (aka running variable).
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Sharp regression discontinuity design
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A Regression discontinuity design where allocation to treatment or control is determined by a sharp threshold / step function.
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Synthetic control method
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The synthetic control method is a statistical method used to evaluate the effect of an intervention in comparative case studies. It involves the construction of a weighted combination of groups used as controls, to which the treatment group is compared.
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Treatment on the treated effect
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TOT
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The average effect of the treatment on the units that recieved it. Also called the average treatment effect on the treated (ATT).
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Treatment effect
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The difference in outcomes between what happened after a treatment is implemented and what would have happened (see Counterfactual) if the treatment had not been implemented, assuming everything else had been the same.
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Wilkinson notation
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A notation for describing statistical models :footcite:p:`wilkinson1973symbolic`.
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References
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==========
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.. footbibliography::

docs/source/index.rst

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.. toctree::
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:titlesonly:
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glossary.md
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glossary
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.. toctree::
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:caption: Examples

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