Multivariable analysis
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... 5.2.2 An example of purposeful selection of covariates, 141 -- 5.3 Stepwise, Best-Subsets and Multivariable ... ... subsets selection of covariates, 159 -- 5.3.3 Selecting covariates and checking their scale using multivariable ... ... The Delta Method 355 -- Appendix 2 An Introduction to the Counting Process Approach to Survival Analysis ...
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
1st ed. 73 s.
- MeSH
- multivariační analýza MeSH
- referenční knihy MeSH
- regresní analýza MeSH
- studenti MeSH
- Publikační typ
- příručky MeSH
- Konspekt
- Statistika
- NLK Obory
- statistika, zdravotnická statistika
- MeSH
- biochemie MeSH
- klinická chemie MeSH
- lidé MeSH
- multivariační analýza MeSH
- stopové prvky analýza MeSH
- Check Tag
- lidé MeSH
BACKGROUND: Component-resolved diagnosis (CRD) has revealed significant associations between IgE against individual allergens and severity of hazelnut allergy. Less attention has been given to combining them with clinical factors in predicting severity. AIM: To analyze associations between severity and sensitization patterns, patient characteristics and clinical history, and to develop models to improve predictive accuracy. METHODS: Patients reporting hazelnut allergy (n = 423) from 12 European cities were tested for IgE against individual hazelnut allergens. Symptoms (reported and during Double-blind placebo-controlled food challenge [DBPCFC]) were categorized in mild, moderate, and severe. Multiple regression models to predict severity were generated from clinical factors and sensitization patterns (CRD- and extract-based). Odds ratios (ORs) and areas under receiver-operating characteristic (ROC) curves (AUCs) were used to evaluate their predictive value. RESULTS: Cor a 9 and 14 were positively (OR 10.5 and 10.1, respectively), and Cor a 1 negatively (OR 0.14) associated with severe symptoms during DBPCFC, with AUCs of 0.70-073. Combining Cor a 1 and 9 improved this to 0.76. A model using a combination of atopic dermatitis (risk), pollen allergy (protection), IgE against Cor a 14 (risk) and walnut (risk) increased the AUC to 0.91. At 92% sensitivity, the specificity was 76.3%, and the positive and negative predictive values 62.2% and 95.7%, respectively. For reported symptoms, associations and generated models proved to be almost identical but weaker. CONCLUSION: A model combining CRD with clinical background and extract-based serology is superior to CRD alone in assessing the risk of severe reactions to hazelnut, particular in ruling out severe reactions.
- MeSH
- alergeny imunologie MeSH
- alergie na ořechy diagnóza imunologie MeSH
- antigeny rostlinné imunologie MeSH
- dvojitá slepá metoda MeSH
- imunoglobulin E krev MeSH
- lidé MeSH
- líska imunologie MeSH
- multivariační analýza MeSH
- plocha pod křivkou MeSH
- ROC křivka MeSH
- senzitivita a specificita MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- randomizované kontrolované studie MeSH
CONTEXT: First-generation somatostatin receptor ligands (fg-SRLs) represent the mainstay of medical therapy for acromegaly, but they provide biochemical control of disease in only a subset of patients. Various pretreatment biomarkers might affect biochemical response to fg-SRLs. OBJECTIVE: To identify clinical predictors of the biochemical response to fg-SRLs monotherapy defined as biochemical response (insulin-like growth factor (IGF)-1 ≤ 1.3 × ULN (upper limit of normal)), partial response (>20% relative IGF-1 reduction without normalization), and nonresponse (≤20% relative IGF-1 reduction), and IGF-1 reduction. DESIGN: Retrospective multicenter study. SETTING: Eight participating European centers. METHODS: We performed a meta-analysis of participant data from 2 cohorts (Rotterdam and Liège acromegaly survey, 622 out of 3520 patients). Multivariable regression models were used to identify predictors of biochemical response to fg-SRL monotherapy. RESULTS: Lower IGF-1 concentration at baseline (odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.72-0.95 IGF-1 ULN, P = .0073) and lower bodyweight (OR = 0.99, 95% CI 0.98-0.99 kg, P = .038) were associated with biochemical response. Higher IGF-1 concentration at baseline (OR = 1.40, (1.19-1.65) IGF-1 ULN, P ≤ .0001), the presence of type 2 diabetes (oral medication OR = 2.48, (1.43-4.29), P = .0013; insulin therapy OR = 2.65, (1.02-6.70), P = .045), and higher bodyweight (OR = 1.02, (1.01-1.04) kg, P = .0023) were associated with achieving partial response. Younger patients at diagnosis are more likely to achieve nonresponse (OR = 0.96, (0.94-0.99) year, P = .0070). Baseline IGF-1 and growth hormone concentration at diagnosis were associated with absolute IGF-1 reduction (β = 0.90, standard error (SE) = 0.02, P ≤ .0001 and β = 0.002, SE = 0.001, P = .014, respectively). CONCLUSION: Baseline IGF-1 concentration was the best predictor of biochemical response to fg-SRL, followed by bodyweight, while younger patients were more likely to achieve nonresponse.
- MeSH
- akromegalie krev diagnóza farmakoterapie MeSH
- biologické markery analýza metabolismus MeSH
- biomarkery farmakologické * analýza metabolismus MeSH
- cyklické peptidy terapeutické užití MeSH
- dospělí MeSH
- insulinu podobný růstový faktor I metabolismus MeSH
- kohortové studie MeSH
- lidé středního věku MeSH
- lidé MeSH
- lidský růstový hormon krev MeSH
- ligandy MeSH
- multivariační analýza MeSH
- oktreotid terapeutické užití MeSH
- prognóza MeSH
- receptory somatostatinu agonisté MeSH
- retrospektivní studie MeSH
- somatostatin analogy a deriváty terapeutické užití MeSH
- teoretické modely * MeSH
- výsledek terapie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
3rd ed. xviii, 798 s.
Wiley series in probability and statistics
1st ed. xix, 506 s.
A test-statistic typically employed in the gene set enrichment analysis (GSEA) prevents this method from being genuinely multivariate. In particular, this statistic is insensitive to changes in the correlation structure of the gene sets of interest. The present paper considers the utility of an alternative test-statistic in designing the confirmatory component of the GSEA. This statistic is based on a pertinent distance between joint distributions of expression levels of genes included in the set of interest. The null distribution of the proposed test-statistic, known as the multivariate N-statistic, is obtained by permuting group labels. Our simulation studies and analysis of biological data confirm the conjecture that the N-statistic is a much better choice for multivariate significance testing within the framework of the GSEA. We also discuss some other aspects of the GSEA paradigm and suggest new avenues for future research.
