out/tables/tabula_stream_p13_t4.csv — roseetal2019nothingstakeknowledge

roseetal2019nothingstakeknowledge

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`Sample`	`B(SE)`	`Wald X2`	`p-value`	`Exp(B)`
`Central and North America`
`USA`	`.231(.641)`	`.130`	`.718`	`1.260`
`Mexico`	`−.686(.579)`	`1.405`	`.236`	`.503`
`South America`
`Brazil`	`−.942(.602)`	`2.445`	`.118`	`.390`
`Europe`
`Bulgaria`	`−.614(.486)`	`"1`	`601"`	`.206`	`.541`
`France (Contrast)`	`—`	`—`	`—`	`—`
`Germany`	`−4.12(.553)`	`.556`	`.456`	`.662`
`Italy`	`−.872(.666)`	`1.716`	`.190`	`.418`
`Portugal`	`−1.237(.641)`	`3.723`	`.054`	`.290`
`Spain`	`.162(.535)`	`.091`	`.762`	`1.176`
`Switzerland`	`−1.314(.798)`	`2.713`	`.100`	`.269`
`UK`	`.142(.571)`	`.061`	`.804`	`1.152`
`Middle East`
`Iran`	`−.740(.535)`	`1.914`	`.166`	`.477`
`East Asia`
`China`	`−1.041(.633)`	`2.706`	`.100`	`.353`
`Hong Kong`	`−.360(.756)`	`.227`	`.633`	`.697`
`Guangzhou China`	`−1.110(.649)`	`2.924`	`.087`	`.329`
`Mainland China`	`.564(.331)`	`.000`	`.996`	`.000`
`Mongolia`	`−.669(.589)`	`1.289`	`.256`	`.512`
`Japan`	`.027(.507)`	`.003`	`.957`	`1.027`
`South Asia`
`India`	`−.077(.621)`	`.015`	`.901`	`.926`