Biostatistics for oral healthcare:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Ames, Iowa
Blackwell Munksgaard
2008
|
Ausgabe: | 1. ed. |
Schlagworte: | |
Online-Zugang: | Contributor biographical information Publisher description Table of contents only Inhaltsverzeichnis |
Beschreibung: | X, 332 S. graph. Darst. |
ISBN: | 9780813828183 081382818X |
Internformat
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020 | |a 9780813828183 |9 978-0-8138-2818-3 | ||
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035 | |a (DE-599)BVBBV023040561 | ||
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084 | |a WC 7000 |0 (DE-625)148142: |2 rvk | ||
100 | 1 | |a Kim, Jay S. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Biostatistics for oral healthcare |c Jay S. Kim ; Ronald J. Dailey |
250 | |a 1. ed. | ||
264 | 1 | |a Ames, Iowa |b Blackwell Munksgaard |c 2008 | |
300 | |a X, 332 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 7 | |a Bioestatística (odontologia) |2 larpcal | |
650 | 7 | |a Biometria (métodos) |2 larpcal | |
650 | 7 | |a Statistiek |2 gtt | |
650 | 4 | |a Statistik | |
650 | 4 | |a Dentistry |x Statistical methods | |
650 | 4 | |a Biometry | |
650 | 4 | |a Biometry |x methods | |
650 | 4 | |a Dentistry | |
650 | 0 | 7 | |a Zahnmedizin |0 (DE-588)4079454-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Biostatistik |0 (DE-588)4729990-3 |2 gnd |9 rswk-swf |
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689 | 0 | 1 | |a Zahnmedizin |0 (DE-588)4079454-4 |D s |
689 | 0 | |C b |5 DE-604 | |
700 | 1 | |a Dailey, Ronald J. |e Verfasser |4 aut | |
856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0802/2007027800-b.html |3 Contributor biographical information | |
856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0802/2007027800-d.html |3 Publisher description | |
856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0802/2007027800-t.html |3 Table of contents only | |
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Datensatz im Suchindex
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---|---|
adam_text | Com
Preface ix
1 Introduction 1
1.1 What Is Biostatistics? 1
1.2 Why Do I Need Statistics? 2
1.3 How Much Mathematics Do I Need? 2
1.4 How Do I Study Statistics? 2
1.5 Reference 3
2 Summarizing Data and Clinical Trials 5
2.1 Raw Data and Basic Terminology 5
2.2 The Levels of Measurements 7
2.3 Frequency Distributions 9
2.3.1 Frequency Tables 9
2.3.2 Relative Frequency 12
2.4 Graphs 13
2.4.1 Bar Graphs 13
2.4.2 Pie Charts 14
2.4.3 Line Graph 14
2.4.4 Histograms 15
2.4.5 Stem and Leaf Plots 19
2.5 Clinical Trials and Designs 20
2.6 Confounding Variables 22
2.7 Exercises 22
2.8 References 24
3 Measures of Central Tendency,
Dispersion, and Skew ness 27
3.1 Introduction 27
3.2 Mean 27
3.3 Weighted Mean 30
3.4 Median 31
3.5 Mode 33
3.6 Geometric Mean 34
3.7 Harmonic Mean 34
3.8 Mean and Median of Grouped Data 35
3.9 Mean of Two or More Means 37
3.10 Range 38
3.11 Percentiles and Interquartile Range 39
tents
3.12 Box Whisker Plot 41
3.13 Variance and Standard Deviation 43
3.14 Coefficient of Variation 46
3.15 Variance of Grouped Data 48
3.16 Skewness 48
3.17 Exercises 50
3.18 References 53
4 Probability 55
4.1 Introduction 55
4.2 Sample Space and Events 55
4.3 Basic Properties of Probability 56
4.4 Independence and Mutually
Exclusive Events 61
4.5 Conditional Probability 62
4.6 Bayes Theorem 65
4.7 Rates and Proportions 69
4.7.1 Prevalence and Incidence 69
4.7.2 Sensitivity and Specificity 70
4.7.3 Relative Risk and Odds Ratio 73
4.8 Exercises 75
4.9 References 79
5 Probability Distributions 81
5.1 Introduction 81
5.2 Binomial Distribution 81
5.3 Poisson Distribution 86
5.4 Poisson Approximation to
Binomial Distribution 87
5.5 Normal Distribution 88
5.5.1 Properties of Normal
Distribution 88
5.5.2 Standard Normal Distribution 90
5.5.3 Using Normal Probability
Table 91
5.5.4 Further Applications of
Normal Probability 94
5.5.5 Finding the (I a) 100th
Percentiles 95
5.5.6 Normal Approximation to
the Binomial Distribution 96
v
vi Conti
5.6 Exercises 99
5.7 References 102
6 Sampling Distributions 103
6.1 Introduction 103
6.2 Sampling Distribution of the Mean 103
6.2.1 Standard Error of the
Sample Mean 104
6.2.2 Central Limit Theorem 106
6.3 Student t Distribution 108
6.4 Exercises 110
6.5 References 111
7 Confidence Intervals and Sample Size 113
7.1 Introduction 113
7.2 Confidence Intervals for the Mean
H and Sample Size n When a
Is Known 113
7.3 Confidence Intervals for the
Mean /u, and Sample Size n When
a Is Not Known 117
7.4 Confidence Intervals for the
Binomial Parameter p 119
7.5 Confidence Intervals for the
Variances and Standard Deviations 121
7.6 Exercises 124
7.7 References 126
8 Hypothesis Testing: One Sample Case 127
8.1 Introduction 127
8.2 Concepts of Hypothesis Testing 128
8.3 One Tailed Z Test of the Mean of
a Normal Distribution When a2
Is Known 131
8.4 Two Tailed Z Test of the Mean of
a Normal Distribution When a2
Is Known 137
8.5 t Test of the Mean of a Normal
Distribution 141
8.6 The Power of a Test and Sample
Size 144
8.7 One Sample Test for a Binomial
Proportion 148
8.8 One Sample x2 Test for the
Variance of a Normal Distribution 150
8.9 Exercises 153
8.10 References 157
9 Hypothesis Testing: Two Sample Case 159
9.1 Introduction 159
ints
9.2 Two Sample Z Test for
Comparing Two Means 159
9.3 Two Sample t Test for
Comparing Two Means with
Equal Variances 161
9.4 Two Sample t Test for Comparing
Two Means with Unequal Variances 163
9.5 The Paired t Test 165
9.6 Z Test for Comparing Two
Binomial Proportions 168
9.7 The Sample Size and Power of a
Two Sample Test 170
9.7.1 Estimation of Sample Size 170
9.7.2 The Power of a
Two Sample Test 172
9.8 The F Test for the Equality of
Two Variances 173
9.9 Exercises 176
9.10 References 179
10 Categorical Data Analysis 181
10.1 Introduction 181
10.2 2 x 2 Contingency Table 181
10.3 r x c Contingency Table 187
10.4 The Cochran Mantel Haenszel
Test 189
10.5 The McNemar Test 191
10.6 The Kappa Statistic 194
10.7 /2Goodness of FitTest 195
10.8 Exercises 198
10.9 References 201
11 Regression Analysis and Correlation 203
11.1 Introduction 203
11.2 Simple Linear Regression 203
11.2.1 Description of
Regression Model 206
11.2.2 Estimation of
Regression Function 207
11.2.3 Aptness of a Model 209
11.3 Correlation Coefficient 212
11.3.1 Significance Test of
Correlation Coefficient 215
11.4 Coefficient of Determination 217
11.5 Multiple Regression 219
11.6 Logistic Regression 221
11.6.1 The Logistic Regression
Model 221
11.6.2 Fitting the Logistic
Regression Model 222
Contt
11.7 Multiple Logistic Regression
Model 223
11.8 Exercises 223
11.9 References 225
12 One way Analysis of Variance 227
12.1 Introduction 227
12.2 Factors and Factor Levels 227
12.3 Statement of the Problem and
Model Assumptions 228
12.4 Basic Concepts in ANOVA 228
12.5 F Test for Comparison of k
Population Means 229
12.6 Multiple Comparison Procedures 234
12.6.1 Least Significant
Difference Method 234
12.6.2 Bonferroni Approach 234
12.6.3 Scheffe s Method 236
12.6.4 Tukey s Procedure 237
12.7 One Way ANOVA Random
Effects Model 238
12.8 Test for Equality of k Variances 239
12.8.1 Bartlett s Test 239
12.8.2 Hartley s Test 241
12.9 Exercises 242
12.10 References 243
13 Two way Analysis of Variance 245
13.1 Introduction 245
13.2 General Model 246
13.3 Sum of Squares and Degrees of
Freedom 247
13.4 F Tests 250
13.5 Repeated Measures Design 253
13.5.1 Advantages and
Disadvantages 254
13.6 Exercises 255
13.7 References 255
14 Non parametric Statistics 257
14.1 Introduction 257
14.2 The Sign Test 258
14.3 The Wilcoxon Rank Sum Test 259
14.4 The Wilcoxon Signed Rank Test 262
14.5 The Median Test 264
14.6 The Kruskal Wallis Rank Test 266
14.7 The Friedman Test 268
14.8 The Permutation Test 269
14.9 The Cochran Test 270
;nts vii
14.10 The Squared Rank Test for
Variances 272
14.11 Spearman s Rank Correlation
Coefficient 274
14.12 Exercises 275
14.13 References 277
15 Survival Analysis 279
15.1 Introduction 279
15.2 Person Time Method and
Mortality Rate 279
15.3 Life Table Analysis 281
15.4 Hazard Function 282
15.5 Kaplan Meier Product Limit
Estimator 284
15.6 Comparing Survival Functions 287
15.6.1 Gehan Generalized
Wilcoxon Test 288
15.6.2 The Log Rank Test 289
15.6.3 The Mantel Haenszel
Test 290
15.7 Piecewise Exponential
Estimator (PEXE) 291
15.7.1 Small Sample Illustration 291
15.7.2 General Description of
PEXE 292
15.7.3 AnExample 293
15.7.4 Propertiesof PEXE and
Comparisons with
Kaplan Meier Estimator 295
15.8 Exercises 297
15.9 References 298
Appendix 299
Solutions to Selected Exercises 299
Table A Table of Random Numbers 309
Table B Binomial Probabilities 310
Table C Poisson Probabilities 316
Table D Standard Normal Probabilities 319
Table E Percentiles of the t
Distribution 320
Table F Percentiles of the x2
Distribution 322
Table G Percentiles of the F
Distribution 323
Table H A Guide to Methods of
Statistical Inference 328
Index 329
|
adam_txt |
Com
Preface ix
1 Introduction 1
1.1 What Is Biostatistics? 1
1.2 Why Do I Need Statistics? 2
1.3 How Much Mathematics Do I Need? 2
1.4 How Do I Study Statistics? 2
1.5 Reference 3
2 Summarizing Data and Clinical Trials 5
2.1 Raw Data and Basic Terminology 5
2.2 The Levels of Measurements 7
2.3 Frequency Distributions 9
2.3.1 Frequency Tables 9
2.3.2 Relative Frequency 12
2.4 Graphs 13
2.4.1 Bar Graphs 13
2.4.2 Pie Charts 14
2.4.3 Line Graph 14
2.4.4 Histograms 15
2.4.5 Stem and Leaf Plots 19
2.5 Clinical Trials and Designs 20
2.6 Confounding Variables 22
2.7 Exercises 22
2.8 References 24
3 Measures of Central Tendency,
Dispersion, and Skew ness 27
3.1 Introduction 27
3.2 Mean 27
3.3 Weighted Mean 30
3.4 Median 31
3.5 Mode 33
3.6 Geometric Mean 34
3.7 Harmonic Mean 34
3.8 Mean and Median of Grouped Data 35
3.9 Mean of Two or More Means 37
3.10 Range 38
3.11 Percentiles and Interquartile Range 39
tents
3.12 Box Whisker Plot 41
3.13 Variance and Standard Deviation 43
3.14 Coefficient of Variation 46
3.15 Variance of Grouped Data 48
3.16 Skewness 48
3.17 Exercises 50
3.18 References 53
4 Probability 55
4.1 Introduction 55
4.2 Sample Space and Events 55
4.3 Basic Properties of Probability 56
4.4 Independence and Mutually
Exclusive Events 61
4.5 Conditional Probability 62
4.6 Bayes Theorem 65
4.7 Rates and Proportions 69
4.7.1 Prevalence and Incidence 69
4.7.2 Sensitivity and Specificity 70
4.7.3 Relative Risk and Odds Ratio 73
4.8 Exercises 75
4.9 References 79
5 Probability Distributions 81
5.1 Introduction 81
5.2 Binomial Distribution 81
5.3 Poisson Distribution 86
5.4 Poisson Approximation to
Binomial Distribution 87
5.5 Normal Distribution 88
5.5.1 Properties of Normal
Distribution 88
5.5.2 Standard Normal Distribution 90
5.5.3 Using Normal Probability
Table 91
5.5.4 Further Applications of
Normal Probability 94
5.5.5 Finding the (I a) 100th
Percentiles 95
5.5.6 Normal Approximation to
the Binomial Distribution 96
v
vi Conti
5.6 Exercises 99
5.7 References 102
6 Sampling Distributions 103
6.1 Introduction 103
6.2 Sampling Distribution of the Mean 103
6.2.1 Standard Error of the
Sample Mean 104
6.2.2 Central Limit Theorem 106
6.3 Student t Distribution 108
6.4 Exercises 110
6.5 References 111
7 Confidence Intervals and Sample Size 113
7.1 Introduction 113
7.2 Confidence Intervals for the Mean
H and Sample Size n When a
Is Known 113
7.3 Confidence Intervals for the
Mean /u, and Sample Size n When
a Is Not Known 117
7.4 Confidence Intervals for the
Binomial Parameter p 119
7.5 Confidence Intervals for the
Variances and Standard Deviations 121
7.6 Exercises 124
7.7 References 126
8 Hypothesis Testing: One Sample Case 127
8.1 Introduction 127
8.2 Concepts of Hypothesis Testing 128
8.3 One Tailed Z Test of the Mean of
a Normal Distribution When a2
Is Known 131
8.4 Two Tailed Z Test of the Mean of
a Normal Distribution When a2
Is Known 137
8.5 t Test of the Mean of a Normal
Distribution 141
8.6 The Power of a Test and Sample
Size 144
8.7 One Sample Test for a Binomial
Proportion 148
8.8 One Sample x2 Test for the
Variance of a Normal Distribution 150
8.9 Exercises 153
8.10 References 157
9 Hypothesis Testing: Two Sample Case 159
9.1 Introduction 159
ints
9.2 Two Sample Z Test for
Comparing Two Means 159
9.3 Two Sample t Test for
Comparing Two Means with
Equal Variances 161
9.4 Two Sample t Test for Comparing
Two Means with Unequal Variances 163
9.5 The Paired t Test 165
9.6 Z Test for Comparing Two
Binomial Proportions 168
9.7 The Sample Size and Power of a
Two Sample Test 170
9.7.1 Estimation of Sample Size 170
9.7.2 The Power of a
Two Sample Test 172
9.8 The F Test for the Equality of
Two Variances 173
9.9 Exercises 176
9.10 References 179
10 Categorical Data Analysis 181
10.1 Introduction 181
10.2 2 x 2 Contingency Table 181
10.3 r x c Contingency Table 187
10.4 The Cochran Mantel Haenszel
Test 189
10.5 The McNemar Test 191
10.6 The Kappa Statistic 194
10.7 /2Goodness of FitTest 195
10.8 Exercises 198
10.9 References 201
11 Regression Analysis and Correlation 203
11.1 Introduction 203
11.2 Simple Linear Regression 203
11.2.1 Description of
Regression Model 206
11.2.2 Estimation of
Regression Function 207
11.2.3 Aptness of a Model 209
11.3 Correlation Coefficient 212
11.3.1 Significance Test of
Correlation Coefficient 215
11.4 Coefficient of Determination 217
11.5 Multiple Regression 219
11.6 Logistic Regression 221
11.6.1 The Logistic Regression
Model 221
11.6.2 Fitting the Logistic
Regression Model 222
Contt
11.7 Multiple Logistic Regression
Model 223
11.8 Exercises 223
11.9 References 225
12 One way Analysis of Variance 227
12.1 Introduction 227
12.2 Factors and Factor Levels 227
12.3 Statement of the Problem and
Model Assumptions 228
12.4 Basic Concepts in ANOVA 228
12.5 F Test for Comparison of k
Population Means 229
12.6 Multiple Comparison Procedures 234
12.6.1 Least Significant
Difference Method 234
12.6.2 Bonferroni Approach 234
12.6.3 Scheffe's Method 236
12.6.4 Tukey's Procedure 237
12.7 One Way ANOVA Random
Effects Model 238
12.8 Test for Equality of k Variances 239
12.8.1 Bartlett's Test 239
12.8.2 Hartley's Test 241
12.9 Exercises 242
12.10 References 243
13 Two way Analysis of Variance 245
13.1 Introduction 245
13.2 General Model 246
13.3 Sum of Squares and Degrees of
Freedom 247
13.4 F Tests 250
13.5 Repeated Measures Design 253
13.5.1 Advantages and
Disadvantages 254
13.6 Exercises 255
13.7 References 255
14 Non parametric Statistics 257
14.1 Introduction 257
14.2 The Sign Test 258
14.3 The Wilcoxon Rank Sum Test 259
14.4 The Wilcoxon Signed Rank Test 262
14.5 The Median Test 264
14.6 The Kruskal Wallis Rank Test 266
14.7 The Friedman Test 268
14.8 The Permutation Test 269
14.9 The Cochran Test 270
;nts vii
14.10 The Squared Rank Test for
Variances 272
14.11 Spearman's Rank Correlation
Coefficient 274
14.12 Exercises 275
14.13 References 277
15 Survival Analysis 279
15.1 Introduction 279
15.2 Person Time Method and
Mortality Rate 279
15.3 Life Table Analysis 281
15.4 Hazard Function 282
15.5 Kaplan Meier Product Limit
Estimator 284
15.6 Comparing Survival Functions 287
15.6.1 Gehan Generalized
Wilcoxon Test 288
15.6.2 The Log Rank Test 289
15.6.3 The Mantel Haenszel
Test 290
15.7 Piecewise Exponential
Estimator (PEXE) 291
15.7.1 Small Sample Illustration 291
15.7.2 General Description of
PEXE 292
15.7.3 AnExample 293
15.7.4 Propertiesof PEXE and
Comparisons with
Kaplan Meier Estimator 295
15.8 Exercises 297
15.9 References 298
Appendix 299
Solutions to Selected Exercises 299
Table A Table of Random Numbers 309
Table B Binomial Probabilities 310
Table C Poisson Probabilities 316
Table D Standard Normal Probabilities 319
Table E Percentiles of the t
Distribution 320
Table F Percentiles of the x2
Distribution 322
Table G Percentiles of the F
Distribution 323
Table H A Guide to Methods of
Statistical Inference 328
Index 329 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Kim, Jay S. Dailey, Ronald J. |
author_facet | Kim, Jay S. Dailey, Ronald J. |
author_role | aut aut |
author_sort | Kim, Jay S. |
author_variant | j s k js jsk r j d rj rjd |
building | Verbundindex |
bvnumber | BV023040561 |
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callnumber-label | RK52 |
callnumber-raw | RK52.45 |
callnumber-search | RK52.45 |
callnumber-sort | RK 252.45 |
callnumber-subject | RK - Dentistry |
classification_rvk | WC 7000 |
ctrlnum | (OCoLC)152795990 (DE-599)BVBBV023040561 |
dewey-full | 617.60072 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 617 - Surgery & related medical specialties |
dewey-raw | 617.60072 |
dewey-search | 617.60072 |
dewey-sort | 3617.60072 |
dewey-tens | 610 - Medicine and health |
discipline | Biologie Medizin |
discipline_str_mv | Biologie Medizin |
edition | 1. ed. |
format | Book |
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id | DE-604.BV023040561 |
illustrated | Illustrated |
index_date | 2024-07-02T19:20:31Z |
indexdate | 2024-07-09T21:09:36Z |
institution | BVB |
isbn | 9780813828183 081382818X |
language | English |
lccn | 2007027800 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016244116 |
oclc_num | 152795990 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR |
owner_facet | DE-355 DE-BY-UBR |
physical | X, 332 S. graph. Darst. |
publishDate | 2008 |
publishDateSearch | 2008 |
publishDateSort | 2008 |
publisher | Blackwell Munksgaard |
record_format | marc |
spelling | Kim, Jay S. Verfasser aut Biostatistics for oral healthcare Jay S. Kim ; Ronald J. Dailey 1. ed. Ames, Iowa Blackwell Munksgaard 2008 X, 332 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Bioestatística (odontologia) larpcal Biometria (métodos) larpcal Statistiek gtt Statistik Dentistry Statistical methods Biometry Biometry methods Dentistry Zahnmedizin (DE-588)4079454-4 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s Zahnmedizin (DE-588)4079454-4 s b DE-604 Dailey, Ronald J. Verfasser aut http://www.loc.gov/catdir/enhancements/fy0802/2007027800-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0802/2007027800-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0802/2007027800-t.html Table of contents only HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016244116&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Kim, Jay S. Dailey, Ronald J. Biostatistics for oral healthcare Bioestatística (odontologia) larpcal Biometria (métodos) larpcal Statistiek gtt Statistik Dentistry Statistical methods Biometry Biometry methods Dentistry Zahnmedizin (DE-588)4079454-4 gnd Biostatistik (DE-588)4729990-3 gnd |
subject_GND | (DE-588)4079454-4 (DE-588)4729990-3 |
title | Biostatistics for oral healthcare |
title_auth | Biostatistics for oral healthcare |
title_exact_search | Biostatistics for oral healthcare |
title_exact_search_txtP | Biostatistics for oral healthcare |
title_full | Biostatistics for oral healthcare Jay S. Kim ; Ronald J. Dailey |
title_fullStr | Biostatistics for oral healthcare Jay S. Kim ; Ronald J. Dailey |
title_full_unstemmed | Biostatistics for oral healthcare Jay S. Kim ; Ronald J. Dailey |
title_short | Biostatistics for oral healthcare |
title_sort | biostatistics for oral healthcare |
topic | Bioestatística (odontologia) larpcal Biometria (métodos) larpcal Statistiek gtt Statistik Dentistry Statistical methods Biometry Biometry methods Dentistry Zahnmedizin (DE-588)4079454-4 gnd Biostatistik (DE-588)4729990-3 gnd |
topic_facet | Bioestatística (odontologia) Biometria (métodos) Statistiek Statistik Dentistry Statistical methods Biometry Biometry methods Dentistry Zahnmedizin Biostatistik |
url | http://www.loc.gov/catdir/enhancements/fy0802/2007027800-b.html http://www.loc.gov/catdir/enhancements/fy0802/2007027800-d.html http://www.loc.gov/catdir/enhancements/fy0802/2007027800-t.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016244116&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT kimjays biostatisticsfororalhealthcare AT daileyronaldj biostatisticsfororalhealthcare |