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1. Full Text Commentaries and Reply on “Predicting Customer Value Using Clumpiness: From RFM to RFMC” by Yao Zhang, Eric T. Bradlow, and Dylan S. Small
by Zhang, Yao and Bradlow, Eric T and Small, Dylan S
Marketing science (Providence, R.I.), ISSN 0732-2399, 3/2015, Volume 34, Issue 2, pp. 209 - 217
RFM | clumpiness | customer lifetime value | Business & Economics | Social Sciences | Business | Customer satisfaction | Analysis | Customer relationship management | Studies | Customer services | Market segmentation
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2. Full Text Empirically Testable Sources and Implications of Clumpiness
by Yao Zhang and Eric T. Bradlow and Dylan S. Small
Marketing science (Providence, R.I.), ISSN 0732-2399, 3/2015, Volume 34, Issue 2, pp. 215 - 217
Commentaries and Reply on "Predicting Customer Value Using Clumpiness: From RFM to RFMC" by Yao Zhang, Eric T. Bradlow, and Dylan S. Small | Business & Economics | Social Sciences | Business
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3. Full Text Number of Healthcare Workers Who Have Died of COVID-19
by Zhang, Bo and Small, Dylan S
Epidemiology (Cambridge, Mass.), ISSN 1044-3983, 11/2020, Volume 31, Issue 6, pp. e46 - e46
Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | COVID-19 | Models, Theoretical | SARS-CoV-2 | Pandemics | Humans | Betacoronavirus | Pneumonia, Viral - mortality | Coronavirus Infections - mortality | Health Personnel - statistics & numerical data | Index Medicus
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4. Full Text A review of instrumental variable estimators for Mendelian randomization
by Burgess, Stephen and Small, Dylan S and Thompson, Simon G
Statistical methods in medical research, ISSN 0962-2802, 10/2017, Volume 26, Issue 5, pp. 2333 - 2355
Instrumental variable | Mendelian randomization | weak instruments | comparison of methods | finite-sample bias | causal inference | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Health Care Sciences & Services | Mathematics | Science & Technology | Mathematical & Computational Biology | Genetic Variation | Mendelian Randomization Analysis - methods | Confidence Intervals | Likelihood Functions | Humans | Risk Factors | Bayes Theorem | Least-Squares Analysis | Models, Statistical | Causality | Case-Control Studies | Statistical analysis | Bias | Popularity | Estimation | Exposure | Statistical methods | Coverage | Genetic diversity | Confidence intervals | Variants | Randomization | Estimating techniques | Estimators | Index Medicus | Regular
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5. Full Text Instrumental variable methods for causal inference
by Baiocchi, Michael and Cheng, Jing and Small, Dylan S
Statistics in medicine, ISSN 0277-6715, 06/2014, Volume 33, Issue 13, pp. 2297 - 2340
comparative effectiveness | confounding | instrumental variables | observational study | Confounding | Comparative effectiveness | Observational study | Instrumental variables | 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 | Data Interpretation, Statistical | Confounding Factors (Epidemiology) | Outcome Assessment (Health Care) - statistics & numerical data | Humans | Observational Studies as Topic - statistics & numerical data | Causality | Infant, Newborn | Variables | Measurement | Medical statistics | Medical treatment | Index Medicus
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6. Full Text The use of bootstrapping when using propensity‐score matching without replacement: a simulation study
by Austin, Peter C and Small, Dylan S
Statistics in medicine, ISSN 0277-6715, 10/2014, Volume 33, Issue 24, pp. 4306 - 4319
propensity‐score matching | Monte Carlo simulations | bootstrap | variance estimation | propensity score | matching | Matching | Propensity-score matching | Bootstrap | Propensity score | Variance estimation | 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 | Propensity Score | Confidence Intervals | Data Interpretation, Statistical | Observational Studies as Topic - methods | Computer Simulation | Humans | Monte Carlo Method | Monte Carlo method | Bootstrap method | Estimating techniques | Sampling | Medical statistics | Monte Carlo simulation | Index Medicus | propensity-score matching
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7. Full Text Predicting Customer Value Using Clumpiness: From RFM to RFMC
by Yao Zhang and Eric T. Bradlow and Dylan S. Small
Marketing science (Providence, R.I.), ISSN 0732-2399, 3/2015, Volume 34, Issue 2, pp. 195 - 208
RFM | clumpiness | customer lifetime value | Customer lifetime value | Clumpiness | Business & Economics | Social Sciences | Business | Customer satisfaction | Analysis | Customer relationship management | Studies | Market segments | Customer services | Data compression | Business models | Market segmentation | Marketing management | North America
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8. Full Text Using Evidence Factors to Clarify Exposure Biomarkers
by Karmakar, Bikram and Small, Dylan S and Rosenbaum, Paul R
American journal of epidemiology, ISSN 0002-9262, 03/2020, Volume 189, Issue 3, pp. 243 - 249
reactive doses | sensitivity to confounding | evidence factors | biomarkers | Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Bias | Biomarkers | Exposure | Cotinine | Homocysteine | Cigarette smoking | Smoking | Index Medicus
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9. Full Text ASSESSMENT OF THE EXTENT OF CORROBORATION OF AN ELABORATE THEORY OF A CAUSAL HYPOTHESIS USING PARTIAL CONJUNCTIONS OF EVIDENCE FACTORS
by Karmakar, Bikram and Small, Dylan S
The Annals of statistics, ISSN 0090-5364, 12/2020, Volume 48, Issue 6, pp. 3283 - 3311
Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Hypotheses | Statistical analysis | Sensitivity analysis | Causality | Statistical tests | Theory
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10. Full Text A test for differential ascertainment in case‐control studies with application to child maltreatment
by Sordello, Matteo and Small, Dylan S
Statistics in medicine, ISSN 0277-6715, 08/2020, Volume 39, Issue 19, pp. 2490 - 2505
case‐control studies | hypothesis testing | Rasch model | differential ascertainment | capture‐recapture | 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 | Child abuse & neglect | Index Medicus
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