some outcry(passive) caused bysome outcry

in the loss of motor and language skills and they might have refractory seizureresultin the loss of motor and language skills and they might have refractory seizure

from equation ( 5 ) in Table 3.3resultsfrom equation ( 5 ) in Table 3.3

to over - prediction of the model 's explanatory powermay leadto over - prediction of the model 's explanatory power

very slow allknn / allkfncausedvery slow allknn / allkfn

potential bias(passive) caused bypotential bias

to deal with binary outcome variablesdesignedto deal with binary outcome variables

Dependent VariableresultDependent Variable

analysis and robust tests 5resultsanalysis and robust tests 5

for a given modelresultsfor a given model

that control for application quality showresultsthat control for application quality show

compiling of individual modules to object files in a project to failcausedcompiling of individual modules to object files in a project to fail

in deathresultsin death

for the dataresultsfor the data

how much of some effect(passive) is caused byhow much of some effect

at the .15 level of significancesetat the .15 level of significance

from our analysisresultingfrom our analysis

in dependent behaviorsresultingin dependent behaviors

in a non - linear fixed effect frameworkresultsin a non - linear fixed effect framework

image browser goto box not to work or update on selectioncausedimage browser goto box not to work or update on selection

A simple ordinary least squares ( OLS ) regression is presented in Equation 1resultsA simple ordinary least squares ( OLS ) regression is presented in Equation 1

F valueresultsF value

my life againinfluencedmy life again

for training effectivenessresultsfor training effectiveness

and free associationto causeand free association

due tocauseddue to

withoutresultswithout

to same conclusionleadsto same conclusion

to insight ... but not actual changemay leadto insight ... but not actual change

therapyto causetherapy

, etcto cause, etc

predicting neuromyths ( i.e. , % of items incorrect from neuromyths factor ) in the full sample ( N = 3,877resultspredicting neuromyths ( i.e. , % of items incorrect from neuromyths factor ) in the full sample ( N = 3,877

to estimate pathresultsto estimate path

discontinuitydesignsdiscontinuity

in the contextoriginatedin the context

from equation ( 2 ) Calculated from Stataresultsfrom equation ( 2 ) Calculated from Stata

in 1980 in a small Minnesota town where a man is arrested for sexually abusing his daughteris setin 1980 in a small Minnesota town where a man is arrested for sexually abusing his daughter

for employment and wage modelsresultsfor employment and wage models

Analysis of changes from baseline in LVIDd and EF(passive) can be influenced byAnalysis of changes from baseline in LVIDd and EF

for the full sampleresultsfor the full sample