Modern applied biostatistical methods: using S-Plus
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York [u.a.]
Oxford Univ. Press
1998
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Schriftenreihe: | Monographs in epidemiology and biostatistics
28 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIV, 461 S. |
ISBN: | 0195120256 |
Internformat
MARC
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Datensatz im Suchindex
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---|---|
adam_text | Contents
1. S-languase, 3
In the beginning, 3
Three data types—and some input conventions, 5
Reading values into SPLUS, 10
S-tools—a beginning set, 11
S-arithmetic, 19
More S-tools—intermediate set, 20
S-tools for statistics, 24
Statistical distributions in SPLUS, 29
Arrays and tables, 33
Matrix algebra tools, 39
Some additional S-tools, 43
Four S-code examples, 49
The .Data file, 57
Addendum: Built-in editors, 60
Problem set I, 61
2. Descriptive Techniques, 65
Description of descriptive statistics, 65
Basic statistical measures, 67
Histogram smoothing—density estimation, 72
Stem-and-leaf display, 76
Comparison of groups—r-test, 79
Comparison of groups—boxplots, 80
Comparison of data to a theoretical distribution—quantile plots, 84
Comparison of groups—qqplots, 89
xii Contents
xy-plot, 95
Three-dimensional plots—perspective plots, 98
Three-dimensional plots—contour plots, 101
Three-dimensional plots—rotation, 104
Smoothing, 109
Two-dimensional smoothing of spatial data, 113
Clusters as a description of data, 116
Additivity— sweeping an array, 126
Example—geographic calculations using S-functions, 133
Estimation of the center of a two-dimensional distribution, 135
Addendum: S-geometry, 136
Problem set II, 139
3. Simulation: Random Values, 141
Random uniform values, 142
An example, 152
Sampling without and with replacement, 155
Random sample from a discrete probability distribution—
acceptance/rejection sampling, 156
Random sample from a discrete probability distribution—
inverse transform method, 160
Binomial probability distribution, 162
Hypergeometric probability distribution, 165
Poisson probability distribution, 168
Geometric probability distribution, 172
Random samples from a continuous distribution, 174
Inverse transform method, 177
Simulating values from the normal distribution, 180
Four other statistical distributions, 183
Simulating minimum and maximum values, 185
Butler s method, 186
Random values over a complex region, 188
Multivariate normal variables, 190
Problem set III, 192
4. General Linear Models, 195
Simplest case—univariate linear regression, 195
Multivariable case, 199
Contents xiii
Multivariable linear model, 199
A closer look at residual values, 217
Predict—pointwise confidence intervals, 221
Formulas for glm(), 222
Polynomial regression, 223
Discriminant analysis, 227
Linear logistic model, 236
Categorical data—bivariate linear logistic model, 239
Multivariable data—linear logistic model, 243
Goodness-of-fit, 248
Poisson model, 250
Multivariable Poisson model, 257
Problem set IV, 263
5. Estimation, 266
Estimation: Maximum Likelihood, 266
Estimator properties, 266
Maximum likelihood estimator, 267
Scoring to find maximum likelihood estimates, 272
Multiparameter estimation, 277
Generalized scoring, 279
Estimation; Bootstrap, 283
Background, 283
General outline, 284
Sample mean from a normal population, 285
Confidence limits, 288
An example—relative risk, 289
Median, 290
Simple linear regression, 291
Jackknife estimation, 297
Bias estimation, 300
Two-sample test—bootstrap approach, 301
Two-sample test—randomization approach, 302
Estimation: Least Squares, 305
Least squares properties, 305
Non-linear least squares estimation, 309
Problem set V, 319
xiv Contents
6. Analysis of Tabular Data, 323
Two by two tables, 323
Matched pairs—binary response, 328
Two by k table, 330
Measures of association—2 x 2 table, 334
Measures of association—r x c table, 336
Measures of association—table with ordinal variables, 338
Loglinear model, 341
Multidimensional— -level variables, 348
High dimensional tables, 354
Problem set VI, 358
7. Analysis of Variance and Some Other S-Functions, 361
Analysis of variance, 361
One-way design, 361
Nested design, 367
Two-way classification with one observation per cell, 369
Matched pairs—measured response, 378
Two-way classification with more than one observation per cell, 381
Leaps—a model selection technique, 384
Principal components, 391
Canonical correlations, 401
Problem set VII, 407
8. Rates, Life Tables, and Survival, 410
Rates, 410
life tables, 417
Survival analysis—an introduction, 423
Nonparametric estimation of a survival curve, 429
Hazard rate—estimation, 430
Mean/median survival time, 432
Proportional hazards model, 437
Problem set VIE, 450
Index, 453
I
|
any_adam_object | 1 |
author | Selvin, Steve 1941- |
author_GND | (DE-588)1206899549 |
author_facet | Selvin, Steve 1941- |
author_role | aut |
author_sort | Selvin, Steve 1941- |
author_variant | s s ss |
building | Verbundindex |
bvnumber | BV025149457 |
classification_rvk | ST 250 ST 320 ST 601 WC 7000 |
ctrlnum | (OCoLC)832749095 (DE-599)BVBBV025149457 |
dewey-full | 570.15195 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 570 - Biology |
dewey-raw | 570.15195 |
dewey-search | 570.15195 |
dewey-sort | 3570.15195 |
dewey-tens | 570 - Biology |
discipline | Biologie Informatik |
format | Book |
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id | DE-604.BV025149457 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T22:27:57Z |
institution | BVB |
isbn | 0195120256 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-019796009 |
oclc_num | 832749095 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | XIV, 461 S. |
publishDate | 1998 |
publishDateSearch | 1998 |
publishDateSort | 1998 |
publisher | Oxford Univ. Press |
record_format | marc |
series | Monographs in epidemiology and biostatistics |
series2 | Monographs in epidemiology and biostatistics |
spelling | Selvin, Steve 1941- Verfasser (DE-588)1206899549 aut Modern applied biostatistical methods using S-Plus Steve Selvin New York [u.a.] Oxford Univ. Press 1998 XIV, 461 S. txt rdacontent n rdamedia nc rdacarrier Monographs in epidemiology and biostatistics 28 S-PLUS (DE-588)4321162-8 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s S-PLUS (DE-588)4321162-8 s DE-604 Monographs in epidemiology and biostatistics 28 (DE-604)BV000004952 28 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=019796009&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Selvin, Steve 1941- Modern applied biostatistical methods using S-Plus Monographs in epidemiology and biostatistics S-PLUS (DE-588)4321162-8 gnd Biostatistik (DE-588)4729990-3 gnd |
subject_GND | (DE-588)4321162-8 (DE-588)4729990-3 |
title | Modern applied biostatistical methods using S-Plus |
title_auth | Modern applied biostatistical methods using S-Plus |
title_exact_search | Modern applied biostatistical methods using S-Plus |
title_full | Modern applied biostatistical methods using S-Plus Steve Selvin |
title_fullStr | Modern applied biostatistical methods using S-Plus Steve Selvin |
title_full_unstemmed | Modern applied biostatistical methods using S-Plus Steve Selvin |
title_short | Modern applied biostatistical methods |
title_sort | modern applied biostatistical methods using s plus |
title_sub | using S-Plus |
topic | S-PLUS (DE-588)4321162-8 gnd Biostatistik (DE-588)4729990-3 gnd |
topic_facet | S-PLUS Biostatistik |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=019796009&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV000004952 |
work_keys_str_mv | AT selvinsteve modernappliedbiostatisticalmethodsusingsplus |