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Statistics at square two [[electronic resource] ] : understanding modern statistical applications in medicine / / Michael J. Campbell
| Statistics at square two [[electronic resource] ] : understanding modern statistical applications in medicine / / Michael J. Campbell |
| Autore | Campbell Michael J., PhD. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 |
| Descrizione fisica | 1 online resource (146 p.) |
| Disciplina | 610.2/1 |
| Soggetto topico |
Medical statistics
Statistics |
| ISBN |
1-118-70980-2
1-281-32049-8 9786611320492 0-470-75583-0 0-470-75502-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistics at Square Two: Understanding modern statistical applications in medicine; Contents; Preface; Chapter 1: Models, tests and data; 1.1 Basics; 1.2 Models; 1.3 Types of data; 1.4 Significance tests; 1.5 Confidence intervals; 1.6 Statistical tests using models; 1.7 Model fitting and analysis: confirmatory and exploratory analyses; 1.8 Computer-intensive methods; 1.9 Bayesian methods; 1.10 Missing values; 1.11 Reporting statistical results in the literature; 1.12 Reading statistics in the literature; Chapter 2: Multiple linear regression; 2.1 The model; 2.2 Uses of multiple regression
2.3 Two independent variables 2.4 Interpreting a computer output; 2.5 Multiple regression in action; 2.6 Assumptions underlying the models; 2.7 Model sensitivity; 2.8 Stepwise regression; 2.9 Reporting the results of a multiple regression; 2.10 Reading the results of a multiple regression; Chapter 3: Logistic regression; 3.1 The model; 3.2 Uses of logistic regression; 3.3 Interpreting a computer output: grouped analysis; 3.4 Logistic regression in action; 3.5 Model checking; 3.6 Interpreting computer output: ungrouped analysis; 3.7 Case-control studies 3.8 Interpreting computer output: unmatched case-control study 3.9 Matched case-control studies; 3.10 Interpreting computer output: matched case-control study; 3.11 Conditional logistic regression in action; 3.12 Reporting the results of logistic regression; 3.13 Reading about logistic regression; Chapter 4: Survival analysis; 4.1 Introduction; 4.2 The model; 4.3 Uses of Cox regression; 4.4 Interpreting a computer output; 4.5 Survival analysis in action; 4.6 Interpretation of the model; 4.7 Generalisations of the model; 4.8 Model checking; 4.9 Reporting the results of a survival analysis 4.10 Reading about the results of a survival analysis Chapter 5: Random effects models; 5.1 Introduction; 5.2 Models for random effects; 5.3 Random vs fixed effects; 5.4 Use of random effects models; 5.5 Random effects models in action; 5.6 Ordinary least squares at the group level; 5.7 Computer analysis; 5.8 Model checking; 5.9 Reporting the results of random effects analysis; 5.10 Reading about the results of random effects analysis; Chapter 6: Other models; 6.1 Poisson regression; 6.2 Ordinal regression; 6.3 Time series regression 6.4 Reporting Poisson, ordinal or time series regression in the literature 6.5 Reading about the results of Poisson, ordinal or time series regression in the literature; Appendix 1: Exponentials and logarithms; A1.1 Logarithms; Appendix 2: Maximum likelihood and significance tests; A2.1 Binomial models and likelihood; A2.2 Poisson model; A2.3 Normal model; A2.4 Hypothesis testing: LR test; A2.5 Wald test; A2.6 Score test; A2.7 Which method to choose?; A2.8 Confidence intervals; Appendix 3: Bootstrapping and variance robust standard errors; A3.1 Computer analysis; A3.2 The bootstrap in action A3.3 Robust or sandwich estimate SE |
| Record Nr. | UNINA-9910145557403321 |
Campbell Michael J., PhD.
|
||
| Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics at square two [[electronic resource] ] : understanding modern statistical applications in medicine / / Michael J. Campbell
| Statistics at square two [[electronic resource] ] : understanding modern statistical applications in medicine / / Michael J. Campbell |
| Autore | Campbell Michael J., PhD. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 |
| Descrizione fisica | 1 online resource (146 p.) |
| Disciplina | 610.2/1 |
| Soggetto topico |
Medical statistics
Statistics |
| ISBN |
1-118-70980-2
1-281-32049-8 9786611320492 0-470-75583-0 0-470-75502-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistics at Square Two: Understanding modern statistical applications in medicine; Contents; Preface; Chapter 1: Models, tests and data; 1.1 Basics; 1.2 Models; 1.3 Types of data; 1.4 Significance tests; 1.5 Confidence intervals; 1.6 Statistical tests using models; 1.7 Model fitting and analysis: confirmatory and exploratory analyses; 1.8 Computer-intensive methods; 1.9 Bayesian methods; 1.10 Missing values; 1.11 Reporting statistical results in the literature; 1.12 Reading statistics in the literature; Chapter 2: Multiple linear regression; 2.1 The model; 2.2 Uses of multiple regression
2.3 Two independent variables 2.4 Interpreting a computer output; 2.5 Multiple regression in action; 2.6 Assumptions underlying the models; 2.7 Model sensitivity; 2.8 Stepwise regression; 2.9 Reporting the results of a multiple regression; 2.10 Reading the results of a multiple regression; Chapter 3: Logistic regression; 3.1 The model; 3.2 Uses of logistic regression; 3.3 Interpreting a computer output: grouped analysis; 3.4 Logistic regression in action; 3.5 Model checking; 3.6 Interpreting computer output: ungrouped analysis; 3.7 Case-control studies 3.8 Interpreting computer output: unmatched case-control study 3.9 Matched case-control studies; 3.10 Interpreting computer output: matched case-control study; 3.11 Conditional logistic regression in action; 3.12 Reporting the results of logistic regression; 3.13 Reading about logistic regression; Chapter 4: Survival analysis; 4.1 Introduction; 4.2 The model; 4.3 Uses of Cox regression; 4.4 Interpreting a computer output; 4.5 Survival analysis in action; 4.6 Interpretation of the model; 4.7 Generalisations of the model; 4.8 Model checking; 4.9 Reporting the results of a survival analysis 4.10 Reading about the results of a survival analysis Chapter 5: Random effects models; 5.1 Introduction; 5.2 Models for random effects; 5.3 Random vs fixed effects; 5.4 Use of random effects models; 5.5 Random effects models in action; 5.6 Ordinary least squares at the group level; 5.7 Computer analysis; 5.8 Model checking; 5.9 Reporting the results of random effects analysis; 5.10 Reading about the results of random effects analysis; Chapter 6: Other models; 6.1 Poisson regression; 6.2 Ordinal regression; 6.3 Time series regression 6.4 Reporting Poisson, ordinal or time series regression in the literature 6.5 Reading about the results of Poisson, ordinal or time series regression in the literature; Appendix 1: Exponentials and logarithms; A1.1 Logarithms; Appendix 2: Maximum likelihood and significance tests; A2.1 Binomial models and likelihood; A2.2 Poisson model; A2.3 Normal model; A2.4 Hypothesis testing: LR test; A2.5 Wald test; A2.6 Score test; A2.7 Which method to choose?; A2.8 Confidence intervals; Appendix 3: Bootstrapping and variance robust standard errors; A3.1 Computer analysis; A3.2 The bootstrap in action A3.3 Robust or sandwich estimate SE |
| Record Nr. | UNISA-996205987003316 |
|
Campbell Michael J., PhD.
|
||
| Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Statistics at square two : understanding modern statistical applications in medicine / / Michael J. Campbell
| Statistics at square two : understanding modern statistical applications in medicine / / Michael J. Campbell |
| Autore | Campbell Michael J., PhD. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 |
| Descrizione fisica | 1 online resource (146 p.) |
| Disciplina | 610.2/1 |
| Soggetto topico |
Medical statistics
Statistics |
| ISBN |
1-118-70980-2
1-281-32049-8 9786611320492 0-470-75583-0 0-470-75502-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistics at Square Two: Understanding modern statistical applications in medicine; Contents; Preface; Chapter 1: Models, tests and data; 1.1 Basics; 1.2 Models; 1.3 Types of data; 1.4 Significance tests; 1.5 Confidence intervals; 1.6 Statistical tests using models; 1.7 Model fitting and analysis: confirmatory and exploratory analyses; 1.8 Computer-intensive methods; 1.9 Bayesian methods; 1.10 Missing values; 1.11 Reporting statistical results in the literature; 1.12 Reading statistics in the literature; Chapter 2: Multiple linear regression; 2.1 The model; 2.2 Uses of multiple regression
2.3 Two independent variables 2.4 Interpreting a computer output; 2.5 Multiple regression in action; 2.6 Assumptions underlying the models; 2.7 Model sensitivity; 2.8 Stepwise regression; 2.9 Reporting the results of a multiple regression; 2.10 Reading the results of a multiple regression; Chapter 3: Logistic regression; 3.1 The model; 3.2 Uses of logistic regression; 3.3 Interpreting a computer output: grouped analysis; 3.4 Logistic regression in action; 3.5 Model checking; 3.6 Interpreting computer output: ungrouped analysis; 3.7 Case-control studies 3.8 Interpreting computer output: unmatched case-control study 3.9 Matched case-control studies; 3.10 Interpreting computer output: matched case-control study; 3.11 Conditional logistic regression in action; 3.12 Reporting the results of logistic regression; 3.13 Reading about logistic regression; Chapter 4: Survival analysis; 4.1 Introduction; 4.2 The model; 4.3 Uses of Cox regression; 4.4 Interpreting a computer output; 4.5 Survival analysis in action; 4.6 Interpretation of the model; 4.7 Generalisations of the model; 4.8 Model checking; 4.9 Reporting the results of a survival analysis 4.10 Reading about the results of a survival analysis Chapter 5: Random effects models; 5.1 Introduction; 5.2 Models for random effects; 5.3 Random vs fixed effects; 5.4 Use of random effects models; 5.5 Random effects models in action; 5.6 Ordinary least squares at the group level; 5.7 Computer analysis; 5.8 Model checking; 5.9 Reporting the results of random effects analysis; 5.10 Reading about the results of random effects analysis; Chapter 6: Other models; 6.1 Poisson regression; 6.2 Ordinal regression; 6.3 Time series regression 6.4 Reporting Poisson, ordinal or time series regression in the literature 6.5 Reading about the results of Poisson, ordinal or time series regression in the literature; Appendix 1: Exponentials and logarithms; A1.1 Logarithms; Appendix 2: Maximum likelihood and significance tests; A2.1 Binomial models and likelihood; A2.2 Poisson model; A2.3 Normal model; A2.4 Hypothesis testing: LR test; A2.5 Wald test; A2.6 Score test; A2.7 Which method to choose?; A2.8 Confidence intervals; Appendix 3: Bootstrapping and variance robust standard errors; A3.1 Computer analysis; A3.2 The bootstrap in action A3.3 Robust or sandwich estimate SE |
| Record Nr. | UNINA-9910815673303321 |
|
Campbell Michael J., PhD.
|
||
| Malden, Mass. ; ; Oxford, : BMJ Books/Blackwell, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
