time-dependent covariates
- time-dependent covariates
French\ \ covariables dépendantes du temps
German\ \ zeitabhängige Kovariablen
Dutch\ \ tijdsafhankelijke covariabelen
Italian\ \ covariate tempo-dipendente
Spanish\ \ covariables dependientes del tiempo
Catalan\ \ -
Portuguese\ \ covariáveis dependentes do tempo
Romanian\ \ -
Danish\ \ tidsafhængige kovariater
Norwegian\ \ -
Swedish\ \ tidsberoende kovariat
Greek\ \ χρονικά εξαρτημένες συμμεταβλητές
Finnish\ \ ajastariippuvat kovariaatit t. selittäjät
Hungarian\ \ idõtõl függõ kovariánsok
Turkish\ \ zamana-bağımlı ortak değişkenler
Estonian\ \ ajast sõltuv kovariant
Lithuanian\ \ priklausomi nuo laiko kintamieji
Slovenian\ \ -
Polish\ \ zmienne zależne od czasu
Russian\ \ ковариация; зависящая от времени
Ukrainian\ \ коваріація; залежна від часу
Serbian\ \ -
Icelandic\ \ -
Euskara\ \ -
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ متغيرات مشتركة معتمدة على الزمن
Afrikaans\ \ tydafhanklike kovariate
Chinese\ \ 时 间 相 关 共 变
Korean\ \ 시간의존변량
Statistical terms.
2014.
Look at other dictionaries:
S (язык программирования)/Temp — Это временная версия статьи S (язык программирования). После внесения в неё правок нужно объединить эту статью со статьёй S (язык программирования) и заменить её содержимое шаблоном {{db}}. Если статья не подходит под формат Википедии, то её… … Википедия
S (язык программирования) — Эту статью следует викифицировать. Пожалуйста, оформите её согласно правилам оформления статей. У этого термина существуют и другие значения, см. S. S язы … Википедия
Proportional hazards models — are a class of survival models in statistics. Survival models relate the time that passes before some event occurs to one or more covariates that may be associated with that quantity. In a proportional hazards model, the unique effect of a unit… … Wikipedia
Multicollinearity — is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.… … Wikipedia
Latent growth modeling — is a statistical technique used in the structural equation modeling (SEM) framework to estimate growth trajectory. It is a longitudinal analysis technique to estimate growth over a period of time. It is widely used in the field of behavioral… … Wikipedia
Caregiving and dementia — As populations age, caregiving and dementia become more common aspects of life. In most mild to medium cases of dementia the primary caregiver is a family member, usually a spouse or adult child. Over time more and more professional care in the… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Dummy variable (statistics) — In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to … Wikipedia
Cross-validation (statistics) — Cross validation, sometimes called rotation estimation,[1][2][3] is a technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and… … Wikipedia
Confounding — factor redirects here. For other uses, see Confounding factor (disambiguation). In statistics, a confounding variable (also confounding factor, lurking variable, a confound, or confounder) is an extraneous variable in a statistical model that… … Wikipedia
Econometrics — Economics … Wikipedia