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1. Bayesian data analysis
: Andrew Gelman ... [et al.]
by Gelman, Andrew
1995, 1st ed., Chapman & Hall texts in statistical science series., ISBN 0412039915, xix, 526
Bayesian statistical decision theory | Mathematical statistics
Book
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2. Full Text American Democracy: From Tocqueville to Town Halls to Twitter. By Andrew J. Perrin. Malden, Mass.: Polity Press, 2014. Pp. x+228. $24.95
by Gelman, Andrew
The American journal of sociology, ISSN 0002-9602, 03/2015, Volume 120, Issue 5, pp. 1562 - 1564
Journal Article
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3. Red state, blue state, rich state, poor state
: why Americans vote the way they do
by Gelman, Andrew
2008, ISBN 069113927X, 233
Elections | Election | Political parties | Presidents | Politics, Practical | United States | Sociology | Political Science | Political Process | POLITICAL SCIENCE | Political Parties
Book
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4. Full Text Scaling regression inputs by dividing by two standard deviations
by Gelman, Andrew
Statistics in medicine, ISSN 0277-6715, 07/2008, Volume 27, Issue 15, pp. 2865 - 2873
generalized linear models | z‐score | linear regression | standardization | logistic regression | Logistic regression | Z-score | Linear regression | Generalized linear models | Standardization | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Regression Analysis | Models, Statistical | Research Design | Biomedical Research - statistics & numerical data | Medical statistics | Standard deviation | Regression analysis | Index Medicus
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5. Full Text The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About It
by Gelman, Andrew
Personality & social psychology bulletin, ISSN 0146-1672, 1/2018, Volume 44, Issue 1, pp. 16 - 23
economics | replication crisis | null hypothesis significance testing | statistics | Psychology, Social | Psychology | Social Sciences | Data Interpretation, Statistical | Reproducibility of Results | Peer Review, Research | Research Design | Humans | Measurement | Behavioural sciences | Null hypothesis | Social psychology | Statistical analysis | Index Medicus
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6. Full Text The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research
: A Bayesian Perspective
by Gelman, Andrew
Journal of management, ISSN 0149-2063, 2/2015, Volume 41, Issue 2, pp. 632 - 643
multilevel modeling | p values | hierarchical modeling | null hypothesis significance testing | variation | regression analysis | Psychology, Applied | Business & Economics | Social Sciences | Management | Psychology | Business | Bayesian statistical decision theory | Usage | Analysis | Management research | Knowledge management | Research | Methods | Regression analysis | Social sciences | Bayesian analysis | Information sharing | Communication
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7. Full Text P values and statistical practice
by Gelman, Andrew
Epidemiology (Cambridge, Mass.), ISSN 1044-3983, 01/2013, Volume 24, Issue 1, pp. 69 - 72
Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Data Interpretation, Statistical | Bayes Theorem | Index Medicus
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8. Full Text Struggles with Survey Weighting and Regression Modeling
by Andrew Gelman
Statistical science, ISSN 0883-4237, 5/2007, Volume 22, Issue 2, pp. 153 - 164
Regression coefficients | Statistical discrepancies | Social surveys | Linear regression | Multilevel models | Population estimates | Regression analysis | Weighted averages | Modeling | Term weighting | Sampling weights | Multilevel modeling | Poststratification | Shrinkage | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology | sampling weights | shrinkage | poststratification
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9. Full Text Don’t Calculate Post-hoc Power Using Observed Estimate of Effect Size
by Gelman, Andrew
Annals of surgery, ISSN 0003-4932, 01/2019, Volume 269, Issue 1, pp. e9 - e10
Life Sciences & Biomedicine | Surgery | Science & Technology | Military Personnel | Humans | Diabetes Mellitus, Type 2 | Index Medicus | Abridged Index Medicus
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10. Full Text Ghitza and Gelman (2013) Yair Ghitza and Andrew Gelman 18 Nov 2013 (vol 57, pg 762, 2013)
by Ghitza, Yair and Gelman, Andrew
American journal of political science, ISSN 0092-5853, 01/2016, Volume 60, Issue 1, pp. E2 - E2
Social Sciences | Government & Law | Political Science
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11. Full Text Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs
by Gelman, Andrew and Imbens, Guido
Journal of business & economic statistics, ISSN 0735-0015, 07/2019, Volume 37, Issue 3, pp. 447 - 456
Uncertainty | Regression discontinuity | Causal identification | Policy analysis | Polynomial regression | Economics | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology
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12. Handbook of Markov chain Monte Carlo
by Brooks, Steve, 1970
2011, ISBN 1420079417, xxv, 592
Markov processes | Monte Carlo method
Book
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13. Full Text Measurement error and the replication crisis
by Loken, Eric and Gelman, Andrew
Science (American Association for the Advancement of Science), ISSN 0036-8075, 02/2017, Volume 355, Issue 6325, pp. 584 - 585
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | In situ measurement | Error analysis | Noise | Feedback | Science | Replication | Feedback loops | Noise measurement | Errors | Parameter uncertainty | Conveying | Robustness | Estimates
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14. Full Text Don't characterize replications as successes or failures
by Gelman, Andrew
The Behavioral and brain sciences, ISSN 0140-525X, 2018, Volume 41, pp. e128 - e128
Open Peer Commentary | Psychology, Biological | Neurosciences | Social Sciences | Life Sciences & Biomedicine | Behavioral Sciences | Psychology | Neurosciences & Neurology | Science & Technology | Studies | Brain | Replication | Social psychology
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15. Full Text Comment on “Post-hoc Power Using Observed Estimate of Effect Size is too Noisy to be Useful”
by Gelman, Andrew
Annals of surgery, ISSN 0003-4932, 08/2019, Volume 270, Issue 2, pp. e64 - e64
Life Sciences & Biomedicine | Surgery | Science & Technology | Sample Size | Humans | Diabetes Mellitus, Type 2 | Index Medicus | Abridged Index Medicus
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16. Full Text The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo
by Hoffman, Matthew D and Gelman, Andrew
Journal of machine learning research, ISSN 1532-4435, 2014, Volume 15, pp. 1593 - 1623
Dual averaging | Hamiltonian Monte Carlo | Bayesian inference | Markov chain Monte Carlo | Adaptive Monte Carlo | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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17. Full Text Benefits and limitations of randomized controlled trials: A commentary on Deaton and Cartwright
by Gelman, Andrew
Social science & medicine (1982), ISSN 0277-9536, 08/2018, Volume 210, pp. 48 - 49
Public, Environmental & Occupational Health | Social Sciences | Life Sciences & Biomedicine | Biomedical Social Sciences | Social Sciences, Biomedical | Science & Technology | Evidence-Based Medicine | Randomized Controlled Trials as Topic | Index Medicus
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18. Full Text Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors
by Andrew Gelman and John Carlin
Perspectives on psychological science, ISSN 1745-6916, 11/2014, Volume 9, Issue 6, pp. 641 - 651
Statistical significance | Error rates | Analytical estimating | Randomness | P values | Standard error | Statistical estimation | Design analysis | Statistics | Probabilities | Special Section on Moving Toward a Cumulative Science: Maximizing What Our Research Can Tell Us | exaggeration ratio | statistical significance | Type M error | design calculation | replication crisis | Type S error | power analysis | Psychology, Multidisciplinary | Psychology | Social Sciences | Beauty | Menstrual Cycle - psychology | Psychology - methods | Data Interpretation, Statistical | Humans | Female | Male | Politics | Research Design | Sex Ratio | Index Medicus
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19. Bayesian data analysis
by Gelman, Andrew, author and Carlin, John B., author and Stern, Hal Steven, author and Dunson, David B., author and Vehtari, Aki, author and Rubin, Donald B., author
2013, Third edition., Chapman & Hall/CRC texts in statistical science, ISBN 9781439840962, xiv, 667 pages
Bayesian statistical decision theory
Book
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20. Full Text Of chaos, storms and forking paths: the principles of uncertainty
by Gelman, Andrew
Nature (London), ISSN 0028-0836, 05/2019, Volume 569, Issue 7758, pp. 628 - 629
Books | Book reviews
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