regression analysis
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... Contents -- Preface xi -- 1 Introduction to Regression Modeling of Survival Data 1 -- 1.1 Introduction ... ... Regression Models for Survival Data 67 -- 3.1 Introduction, 67 -- 3.2 Semi-Parametric Regression Models ... ... Parametric Regression Models 244 -- 8.1 Introduction, 244 -- 8.2 The Exponential Regression Model, 246 ... ... -- 8.3 The Weibull Regression Model, 260 -- 8.4 The Log-Logistic Regression Model, 273 -- 8.5 Other ... ... Parametric Regression Models, 283 Exercises, 283 -- 9. ...
Wiley series in probability and statistics
Second edition xiii, 392 stran : ilustrace, tabulky, grafy ; 24 cm.
- Konspekt
- Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování
- NLK Obory
- přírodní vědy
- NLK Publikační typ
- kolektivní monografie
Springer series in statistics
1st ed. 568 s.
Vyšetrili sme 79 pacientov (n = 79) s primárnou a sekundárnou osteoporózou, z toho 31 mužov (nM = 31) vo veku 31–61 rokov a 48 žien (nF = 48) vo veku 33–65 rokov. U týchto pacientov sme sledovali aminoterminálny telopeptid kolagénu I organickej kostnej matrix (NTx) v 24- (NTx 24) a v 2hodino- vej rannej (NTx 2) diuréze (od 6.00–8.00 h). Cieľ práce: zodpovedať otázky: 1. Je štatisticky významná korelácia medzi hodnotami NTx v 24- a v 2hodinovej diuréze u pacientov s osteoporózou? 2. Je štatisticky významný rozdiel v hladine NTx v 24- a v 2hodinovej diuréze u toho istého pa- cienta? 3. Je 2hodinová diuréza pre stanovenie hladín NTx u pacientov s osteoporózou presnejšia než doteraz používaný odber prvého alebo druhého ranného moču, ktorý sa odoberá v ktorúkoľvek rannú hodinu? Štatistická analýza: K testovaniu normality rozdelenia v každom súbore sme použili d’Agostinov test. Jednosmernú závislosť náhodnej premennej y (NTx 2) od nezávislej premennej x (NTx 24) sme vyjadrili pomocou lineárnej regresie. Výsledky: Medzi hodnotami NTx 24 (os x) a NTx 2 (os y) sa zistila štatisticky významná (p < 0,001) pozitívna korelácia (ženy: r = 0,884, muži: r = 0,593). V súbore mužov a žien sa zistili štatisticky významne vyššie hodnoty NTx 2 ako NTx 24, čo je podmienené cirkadiánnym biorytmom hladiny NTx, ktorá dosahuje exkrečné maximum medzi 3. a 7. hodinou rannou. Referenčné hodnoty NTx 2 vypočítané z rovnice lineárnej regresie [y = a + bx, y = NTx 2, x = NTx 24, (a, b) – regresné koeficienty] vykazujú užší interval (ženy: 22,96–46,48 nmol/mmol kreatininu, muži 29,52–47,16 nmol/mmol kreatininu) ako referenčné hodnoty pre prvý ranný moč uvádzané výrobcom kitov NTx (OSTEX, USA) – (ženy: 5–65, muži: 10–72 nmol/nmol kreatininu). Záver: 1. Medzi hodnotami NTx 24 a NTx 2 sa zistila štatisticky významná pozitívna korelácia. Obidva zbery moču sa môžu používať k stanoveniu hladín NTx 2). Zavedenie dvojhodino- vej rannej diurézy pre stanovenie hladín NTx zmenší rozsah kolísania hodnôt NTx pri jeho opako- vanom vyšetrení a spresní výpovednosť jeho hodnôt.
The authors examined 79 patients (n = 79) with primary and secondary osteoporosis incl. 31 men (nM = 31) aged 31–61 years and 48 women (nF = 48) aged 33 to 65 years. In these patients the authors investigated the aminoterminal telopeptide of collagen I of the organic bone matrix (NTx) on the 24-hour (NTx 24) and 2-hour morning (NTx 2) diuresis (from 6 to 8 a.m.). Objective: to find a reply to the question 1. Is there a statistically significant correlation between values BTx in the 24-hour and 2-hour diuresis in patients with osteoporosis? 2. Is there a statistically significant difference in the level of NTx in the 24-hour and 2-hour diuresis in the same patient? 3. Is the 2-hour diuresis more accurate for the assessment of levels of NTx in patients with osteoporosis than the hitherto used collection of the first or second urine sample collected at any time in the morning? Statistical analysis: for testing of the normality of distribution in each group the authors used d’Agostin’s test. The one way relationship of a random variable y (NTx 2) on the independent variable x (NTx 24) was expressed by linear regression. Results: Between values NTx (axis x) and NTx 2 and NTx 1 (axis y) a significant (p < 0.001) positive correlation was found (women r = 0.884, men r = 0.593). In the group of men and women significantly higher values of NTx 2 were found than NTx 24 which is due to the circadian biorhythm of the NTx level which reaches its excretory maximum between 3 and 7 a.m. The reference value of NTx 2 calculated from the equation of linear regression [y = a + bx, b = NTx 2, x = NTx 24, (a, b) – regression coefficients] have a narrower interval (women: 22.96–46.48 nmol/mmol creatinine, men 29.52–47.16 nmol/mmol creatinine than the reference value for the first morning urine given by the manufacturer of NTx kits (OSTEX USA) – women 5–65, men 10–72 nmol/mmol creatinine). Conclusion: 1. Between values of NTy 24 and NTx 2 a significant positive correlation was found. Both urine samples can be used for assessment of NTx levels. 2. Introduction of two-hour morning diuresis for assessment of NTx levels reduces the range of variation of NTx levels during repeated examinations and makes the information provided by the values more accurate.
- MeSH
- dopravní nehody MeSH
- lidé MeSH
- rány a poranění MeSH
- regresní analýza MeSH
- statistika jako téma MeSH
- Check Tag
- lidé MeSH
Wiley series in probability and statistics
3rd ed. xvii, 448 s.
... CONTENTS -- 1 Introduction to the Logistic Regression Model -- 1.1 Introduction, 1 -- 1.2 Fitting the ... ... Logistic Regression Model, 7 -- 1.3 Testing for the Significance of the Coefficients, 11 -- 1.4 Confidence ... ... Case-Control Studies 223 -- 7.1 Introduction, 223 -- 7.2 Logistic Regression Analysis for the 1-1 Matched ... ... Models, 305 -- 8.3 Logistic Regression Models for the Analysis of Correlated Data, 308 -- 8.4 Exact ... ... Methods for Logistic Regression Models, 330 -- 8.5 Sample Size Issues When Fitting Logistic Regression ...
Wiley series in probability and statistics
2nd ed. xii, 375 s.
... Contents -- Preface ix -- 1 Introduction to Regression Modeling of Survival Data 1 -- 1.1 Introduction ... ... Functions, 57 -- 2.5 Other Functions of Survival Time and Their Estimators, 73 Exercises, 84 -- 3 Regression ... ... Models for Survival Data 87 -- 3.1 Introduction, 87 -- 3.2 Semiparametric Regression Models, 90 -- 3.3 ... ... Fitting the Proportional Hazards Regression Model, 93 -- 3.4 Fitting the Proportional Hazards Model ... ... The Weibull Regression Model, 289 -- 8.4 The Log-Logistic Regression Model, 299 -- 8.5 Other Parametric ...
Wiley series in probability and mathematical statistics
386 s.
